Behind the ChatGPT Hype: Are Its Suggestions Contributing to Addiction?

Ann Biomed Eng

Department of Humanities, Faculty of Economics and Management, Czech University of Life Sciences Prague, Kamýcká 129, 165 00, Prague-Suchdol, Czechia.

Published: June 2023

ChatGPT has been a frequent topic of discussion lately. All over the Internet, from YouTube to blogs, there have been reports about how ChatGPT is able to plan people's daily activities, even for a whole month. However, what matters is what activities ChatGPT recommends. When ChatGPT was trained on a vast amount of data from the Internet, we wondered if it would suggest activities that can lead to addiction. In our test, not once did ChatGPT recommend an activity related to alcohol, drug use, or any other activity that can lead to addiction with serious health consequences. Suggestions seemed more like self-improvement posts on blogs than discussion forums where people might mention drinking in the evenings. Thus, if a person were to use ChatGPT as a personal lifestyle advisor, it does not appear on the basis of this test that ChatGPT would recommend activities that would be fundamentally detrimental to their health. However, more detailed long-term testing of similar tools is needed before recommendations for use in practice can be made.

Download full-text PDF

Source
http://dx.doi.org/10.1007/s10439-023-03201-5DOI Listing

Publication Analysis

Top Keywords

chatgpt
8
lead addiction
8
test chatgpt
8
chatgpt recommend
8
chatgpt hype
4
hype suggestions
4
suggestions contributing
4
contributing addiction?
4
addiction? chatgpt
4
chatgpt frequent
4

Similar Publications

Background: The purpose of this study was to evaluate the performance and evolution of Chat Generative Pre-Trained Transformer (ChatGPT; OpenAI) as a resource for shoulder and elbow surgery information by assessing its accuracy on the American Academy of Orthopaedic Surgeons shoulder-elbow self-assessment questions. We hypothesized that both ChatGPT models would demonstrate proficiency and that there would be significant improvement with progressive iterations.

Materials And Methods: A total of 200 questions were selected from the 2019 and 2021 American Academy of Orthopaedic Surgeons shoulder-elbow self-assessment questions.

View Article and Find Full Text PDF

This article systematically reviewed 327 documents in the core collection of the Web of Science database regarding ChatGPT applications in the writing domain. This study aimed to comprehensively assess the latest progress and potential applications. ChatGPT demonstrates significant potential in overcoming writing anxiety, improving writing efficiency, generating initial scientific papers, and assisting researchers and students in giving feedback.

View Article and Find Full Text PDF

Objectives: This study aims to evaluate the performance of the latest large language models (LLMs) in answering dental multiple choice questions (MCQs), including both text-based and image-based questions.

Material And Methods: A total of 1490 MCQs from two board review books for the United States National Board Dental Examination were selected. This study evaluated six of the latest LLMs as of August 2024, including ChatGPT 4.

View Article and Find Full Text PDF

Generative artificial intelligence enables the generation of bone scintigraphy images and improves generalization of deep learning models in data-constrained environments.

Eur J Nucl Med Mol Imaging

January 2025

Department of Biomedical Imaging and Image-guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Spitalgasse 23, Vienna, 1090, Austria.

Purpose: Advancements of deep learning in medical imaging are often constrained by the limited availability of large, annotated datasets, resulting in underperforming models when deployed under real-world conditions. This study investigated a generative artificial intelligence (AI) approach to create synthetic medical images taking the example of bone scintigraphy scans, to increase the data diversity of small-scale datasets for more effective model training and improved generalization.

Methods: We trained a generative model on Tc-bone scintigraphy scans from 9,170 patients in one center to generate high-quality and fully anonymized annotated scans of patients representing two distinct disease patterns: abnormal uptake indicative of (i) bone metastases and (ii) cardiac uptake indicative of cardiac amyloidosis.

View Article and Find Full Text PDF

In a rapidly evolving healthcare environment, artificial intelligence (AI) is transforming diagnostic techniques and personalised medicine. This is also seen in osseous biopsies. AI applications in radiomics, histopathology, predictive modelling, biopsy navigation, and interdisciplinary communication are reshaping how bone biopsies are conducted and interpreted.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!